Harness the immersive potential of generative AI, acquire practical experience via hands-on projects, learn from industry experts, and attend live masterclasses to prepare for an AI-driven future.
Program certificate from Purdue University and Simplilearn
Become eligible for a membership at the Purdue University Alumni Association
Live classes on the latest topics such as generative AI, prompt engineering and more
25+ hands-on projects and 3 capstone projects with integrated labs
Curriculum delivered in live classes by industry experts
Masterclasses by the eminent Purdue faculty and industry-specialists from IBM
Strengthen your resume and professional profile with exclusive insider tips
Highlight your profile to recruiters and stand out in the job market
The AI & ML Engineer develops, implements, and maintains machine learning and AI solutions. This role involves coding, data preprocessing, model training, and deploying solutions in real-world applications. Proficiency in machine learning frameworks is essential for success in this role.
Discover the principles of automation, analysis, and much more from the AI ML Course, which is offered in collaboration with Purdue University. Begin your AI adventure by taking the AI and ML course on statistics and intelligent computing.
This course provides you with essential Python programming skills that will serve as the building blocks for your entire program journey. You will learn how to effectively implement artificial intelligence (AI) and machine learning (ML) algorithms, conduct data analysis, and construct intelligent systems efficiently using Python
Kickstart your learning by getting an understanding of the Python language and its libraries, writing scripts using the Jupyter-based lab environment with these AI ML course.
Designed by IBM, this course explores using Python for data science. You will learn how to write Python scripts and conduct critical hands-on data analysis using a Jupyter-based lab environment.
This course explores diverse machine learning types and their practical applications. You will study the machine learning pipeline and dive into supervised learning, including regression models and classification algorithms. You will gain experience with unsupervised learning, focusing on clustering techniques and ensemble modeling. Additionally, you will evaluate frameworks like TensorFlow and Keras and gain hands-on experience with PyTorch to build a recommendation engine.
Take your machine learning skills to the next level in this course by understanding deep learning with TensorFlow and Keras. You will gain proficiency in deep learning concepts, enabling you to construct artificial neural networks and navigate through layers of data abstraction. By unlocking the potential of data, this course prepares you for new frontiers in Artificial Intelligence.
Explore the basics and practical use cases of deep learning and learn how it differs from machine learning. Topics covered include neural networks, forward/backward propagation, TensorFlow 2, Keras, performance enhancement, model interpretability, CNNs, transfer learning, object detection, RNNs, autoencoders, and PyTorch.
This course provides a comprehensive understanding of the latest AI topics, such as generative AI, prompt engineering, and ChatGPT. You will gain practical experience and know-how of what they are and how to leverage them for different business applications. You will also explore prompt engineering and its role in generating desired outputs.
Implement the skills you will gain throughout this program in this capstone project. You will solve industry-specific challenges by leveraging various AI and ML tools and techniques learned in the program modules. This project will help you showcase your new expertise to potential employers.
Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.
Attend these online live sessions delivered by industry experts to gain insights about the latest advancements in the AI space. Some of the areas and concepts covered include Generative AI and its Applications, Leveraging the power of generative modeling to build innovative products, Building and deploying GPT-powered applications Demystifying ChatGPT, its architecture, training methodology, and business applications, and Applications of ChatGPT. {*Areas mentioned above are subject to change}
This advanced course offers in-depth knowledge and practical skills in computer vision and deep learning techniques. It covers image formation and processing, convolutional neural networks, object detection, image segmentation, generative models, optical character recognition, distributed and parallel computing, explainable AI, and deploying deep learning models.
In this advanced course, you will take a deep dive into the science of applying machine learning algorithms to process vast amounts of natural language data. The primary focus areas include natural language understanding, feature engineering, natural language generation, automated speech recognition, speech-to-text conversion, text-to-speech conversion, and voice-assisted devices.
This course explores the core concepts of reinforcement learning in depth. You will learn how to solve reinforcement learning problems using various strategies. Leverage Python and TensorFlow to practically apply theoretical concepts to real-world problems. By the end of the course, you will have the skills to use reinforcement learning algorithms as a problem-solving strategy, enabling you to tackle complex tasks and make informed decisions.
Pay in Installments
As low asYou can pay monthly installments using Splitit, Climb Credit and Klarna.These plans are offered with low APR and no hidden fees.
Tell us why you’d want to do this AI and ML Course
An admission panel will shortlist candidates based on their application
Selected candidates start the AI and ML Course in 1-2 weeks
Artificial Intelligence and Machine Learning professionals are in high demand across the globe in today's competitive job market. Across various sectors, from e-commerce to healthcare, businesses are actively seeking AI and ML experts to innovate, optimize operations, and make data-driven decisions. According to industry reports, the global AI market is expected to grow at a staggering CAGR of 39.4% between 2021 and 2028. This phenomenal growth reflects the urgency for AI and ML skills in the Indian workforce.
Pudue’s Post Graduate Program in AI and Machine Learning, in collaboration with IBM, ensures hands-on experience with industry-leading tools and technologies, while Purdue's academic excellence provides a strong foundation in AI theory and application. This program opens doors to a wide range of opportunities, not just in terms of lucrative salaries but also in terms of shaping the future of industries. With AI and ML becoming integral to sectors like IT, BFSI, and manufacturing, your expertise will play a pivotal role in driving progress and innovation in the country.
Purdue University's ML course in collaboration with Simplilearn stands out in the competitive field of AI due to its industry-driven curriculum, which emphasizes practical application over theory. The machine learning training program incorporates real-world case studies and projects, equipping students with hands-on experience essential for success in the industry. A unique feature is its commitment to providing career support throughout the machine learning course, including interview preparation and job placement assistance. In addition, Purdue University's reputation as a leading research institution ensures a thorough and rigorous understanding of AI and machine learning.
Simplilearn-Purdue's generative AI course provides a comprehensive understanding of generative AI, prompt engineering, ChatGPT, and DALL-E. In this Simplilearn-Purdue artificial intelligence course, you will gain practical experience working with generative AI tools and techniques and learn how to leverage them in real-world business use cases.
The AI and machine learning certification from Purdue University in collaboration with Simplilearn, offered via an online bootcamp, is an extensive, industry-relevant program that provides a deep understanding of key AI concepts.It covers comprehensive topics such as data science with Python, machine learning, deep learning with Keras and TensorFlow, natural language processing, speech recognition, and reinforcement learning. As part of the machine learning course, learners undertake capstone projects in e-commerce, entertainment, and healthcare, which help simulate real-time, industry-level decision-making. This machine learning certification is recognized globally and adds substantial value to your professional profile.
Purdue University's reputation as a leading research institution ensures a thorough and rigorous understanding of AI and machine learning. This mix of theoretical foundation and practical application makes the Purdue University ML certification a valuable asset for anyone looking to launch or advance their career in artificial intelligence. With its comprehensive coverage and commitment to success, the Purdue University ML certification is ideal for those aspiring to join the AI revolution.
Several industries stand to benefit significantly from the skills acquired through Purdue-Simplilearn ML and AI courses. The e-commerce industry can leverage these skills to enhance recommendation engines, improve customer service through chatbots, and optimize logistics. The entertainment industry can use AI to customize content, enhance viewer engagement, and streamline production processes. The healthcare sector can benefit from improved diagnostics, the creation of personalized treatment plans, and enhanced patient care. Other industries, such as finance, transportation, and manufacturing, can also harness the power of AI and ML to drive efficiency and innovation.
Yes, students in Simplilearn Purdue's AI programs have access to various research opportunities. The course incorporates real-world projects and assignments across various sectors, such as e-commerce, entertainment, and healthcare. These projects simulate real-world problems, facilitating research, machine learning, and AI knowledge application. Moreover, the course's extensive coverage of AI topics offers ample avenues for exploration and research.
Purdue University is a top public research institution developing practical solutions to today’s toughest challenges. Ranked in each of the last four years as one of the 10 Most Innovative Universities in the United States by U.S. News & World Report, Purdue delivers world-changing research and discovery.
Purdue University Online has partnered with Simplilearn to deliver various online professional programs. Simplilearn’s award-winning immersive learning model focuses on applied learning experiences intended to create immediate impact.